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MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010

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MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010


Published 2011


Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example:

The concept of statistical significance (to be touched upon at the end of this course) is considered by the Financial Times as one of "The Ten Things Everyone Should Know About Science".
A recent Scientific American article argues that statistical literacy is crucial in making health-related decisions.
Finally, an article in the New York Times identifies statistical data analysis as an upcoming profession, valuable everywhere, from Google and Netflix to the Office of Management and Budget.

The aim of this class is to introduce the relevant models, skills, and tools, by combining mathematics with conceptual understanding and intuition.

View the complete course: http://ocw.mit.edu/6-041F10
Instructor: John Tsitsiklis

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
(Video for this course was recorded in 2011 and added to the the 2010 version on MIT OpenCourseWare.)


Audio/Visual sound, color
Language English

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